Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 1123 |
| Missing cells | 3026 |
| Missing cells (%) | 8.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 265.7 KiB |
| Average record size in memory | 242.3 B |
Variable types
| Text | 5 |
|---|---|
| Numeric | 14 |
| Unsupported | 7 |
| Categorical | 3 |
| DateTime | 2 |
| Boolean | 1 |
GitHub Repository ID is highly overall correlated with Duration Created to Now in Years | High correlation |
GitHub Stars is highly overall correlated with GitHub Forks and 7 other fields | High correlation |
GitHub Forks is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
GitHub Subscribers is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
GitHub Open Issues is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
GitHub Contributors is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
GitHub Network Count is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
Repository Size (KB) is highly overall correlated with total lines of GitHub detected code and 1 other fields | High correlation |
Duration Created to Now in Years is highly overall correlated with GitHub Repository ID | High correlation |
GitHub Stars (Log Scale) is highly overall correlated with GitHub Stars and 8 other fields | High correlation |
total lines of GitHub detected code is highly overall correlated with Repository Size (KB) and 2 other fields | High correlation |
total lines of GitHub detected code (Log Scale) is highly overall correlated with Repository Size (KB) and 1 other fields | High correlation |
GitHub Forks (Log Scale) is highly overall correlated with GitHub Stars and 8 other fields | High correlation |
GitHub Open Issues (Log Scale) is highly overall correlated with GitHub Stars and 7 other fields | High correlation |
category is highly overall correlated with GitHub Stars (Log Scale) and 1 other fields | High correlation |
Primary language is highly overall correlated with total lines of GitHub detected code | High correlation |
GitHub Repo Archived is highly imbalanced (90.9%) | Imbalance |
category is highly imbalanced (75.0%) | Imbalance |
Project Homepage has 539 (48.0%) missing values | Missing |
GitHub License Type has 551 (49.1%) missing values | Missing |
GitHub Description has 54 (4.8%) missing values | Missing |
GitHub Organization has 729 (64.9%) missing values | Missing |
GitHub Stars (Log Scale) has 44 (3.9%) missing values | Missing |
GitHub Forks (Log Scale) has 435 (38.7%) missing values | Missing |
GitHub Open Issues (Log Scale) has 674 (60.0%) missing values | Missing |
GitHub Stars is highly skewed (γ1 = 21.55540447) | Skewed |
GitHub Forks is highly skewed (γ1 = 25.30444087) | Skewed |
GitHub Subscribers is highly skewed (γ1 = 22.78021783) | Skewed |
GitHub Network Count is highly skewed (γ1 = 25.30419643) | Skewed |
total lines of GitHub detected code is highly skewed (γ1 = 24.44181837) | Skewed |
GitHub Repository ID has unique values | Unique |
Project Repo URL has unique values | Unique |
Date Created has unique values | Unique |
Date Most Recent Commit has unique values | Unique |
Project Landscape Category is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Topics is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Detected Languages is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Created to Most Recent Commit is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Created to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Most Recent Commit to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Negative Duration Most Recent Commit to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Stars has 44 (3.9%) zeros | Zeros |
GitHub Forks has 435 (38.7%) zeros | Zeros |
GitHub Subscribers has 52 (4.6%) zeros | Zeros |
GitHub Open Issues has 674 (60.0%) zeros | Zeros |
GitHub Contributors has 27 (2.4%) zeros | Zeros |
GitHub Network Count has 435 (38.7%) zeros | Zeros |
GitHub Stars (Log Scale) has 316 (28.1%) zeros | Zeros |
GitHub Forks (Log Scale) has 167 (14.9%) zeros | Zeros |
GitHub Open Issues (Log Scale) has 125 (11.1%) zeros | Zeros |
Reproduction
| Analysis started | 2023-10-19 22:29:27.191507 |
|---|---|
| Analysis finished | 2023-10-19 22:29:43.283741 |
| Duration | 16.09 seconds |
| Software version | ydata-profiling vv4.6.0 |
| Download configuration | config.json |
Project Name
Text
| Distinct | 1090 |
|---|---|
| Distinct (%) | 97.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Length
| Max length | 100 |
|---|---|
| Median length | 65 |
| Mean length | 15.050757 |
| Min length | 3 |
Characters and Unicode
| Total characters | 16902 |
|---|---|
| Distinct characters | 65 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 1065 ? |
|---|---|
| Unique (%) | 94.8% |
Sample
| 1st row | pandas |
|---|---|
| 2nd row | numpy |
| 3rd row | arrow |
| 4th row | duckdb |
| 5th row | parquet-mr |
| Value | Count | Frequency (%) |
| single-cell-analysis | 8 | 0.7% |
| single-cell-rna-seq-analysis | 7 | 0.6% |
| single_cell_analysis | 7 | 0.6% |
| singlecellanalysis | 4 | 0.4% |
| single-cell-rna-seq | 4 | 0.4% |
| singlecell | 3 | 0.3% |
| orchestratingsinglecellanalysis | 3 | 0.3% |
| single-cell-rna-sequencing-analysis | 2 | 0.2% |
| cytominer | 2 | 0.2% |
| spectre | 2 | 0.2% |
| Other values (1060) | 1081 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1443 | 8.5% |
| l | 1339 | 7.9% |
| s | 1259 | 7.4% |
| i | 1025 | 6.1% |
| a | 1012 | 6.0% |
| n | 949 | 5.6% |
| - | 847 | 5.0% |
| c | 778 | 4.6% |
| o | 695 | 4.1% |
| t | 617 | 3.7% |
| Other values (55) | 6938 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 12372 | |
| Uppercase Letter | 2819 | 16.7% |
| Dash Punctuation | 847 | 5.0% |
| Connector Punctuation | 431 | 2.5% |
| Decimal Number | 413 | 2.4% |
| Other Punctuation | 20 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1443 | |
| l | 1339 | |
| s | 1259 | |
| i | 1025 | 8.3% |
| a | 1012 | 8.2% |
| n | 949 | 7.7% |
| c | 778 | 6.3% |
| o | 695 | 5.6% |
| t | 617 | 5.0% |
| r | 573 | 4.6% |
| Other values (16) | 2682 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 427 | |
| C | 394 | |
| S | 374 | |
| R | 231 | 8.2% |
| N | 205 | 7.3% |
| M | 132 | 4.7% |
| T | 129 | 4.6% |
| P | 128 | 4.5% |
| I | 113 | 4.0% |
| D | 105 | 3.7% |
| Other values (16) | 581 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 156 | |
| 0 | 100 | |
| 1 | 72 | |
| 3 | 22 | 5.3% |
| 9 | 21 | 5.1% |
| 8 | 14 | 3.4% |
| 4 | 11 | 2.7% |
| 7 | 8 | 1.9% |
| 6 | 5 | 1.2% |
| 5 | 4 | 1.0% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 847 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 431 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 20 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15191 | |
| Common | 1711 | 10.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1443 | 9.5% |
| l | 1339 | 8.8% |
| s | 1259 | 8.3% |
| i | 1025 | 6.7% |
| a | 1012 | 6.7% |
| n | 949 | 6.2% |
| c | 778 | 5.1% |
| o | 695 | 4.6% |
| t | 617 | 4.1% |
| r | 573 | 3.8% |
| Other values (42) | 5501 |
Common
| Value | Count | Frequency (%) |
| - | 847 | |
| _ | 431 | |
| 2 | 156 | 9.1% |
| 0 | 100 | 5.8% |
| 1 | 72 | 4.2% |
| 3 | 22 | 1.3% |
| 9 | 21 | 1.2% |
| . | 20 | 1.2% |
| 8 | 14 | 0.8% |
| 4 | 11 | 0.6% |
| Other values (3) | 17 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1443 | 8.5% |
| l | 1339 | 7.9% |
| s | 1259 | 7.4% |
| i | 1025 | 6.1% |
| a | 1012 | 6.0% |
| n | 949 | 5.6% |
| - | 847 | 5.0% |
| c | 778 | 4.6% |
| o | 695 | 4.1% |
| t | 617 | 3.7% |
| Other values (55) | 6938 |
GitHub Repository ID
Real number (ℝ)
HIGH CORRELATION  UNIQUE 
| Distinct | 1123 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.7923865 × 108 |
| Minimum | 858127 |
|---|---|
| Maximum | 7.0306429 × 108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 858127 |
|---|---|
| 5-th percentile | 48407428 |
| Q1 | 1.4014133 × 108 |
| median | 2.5217638 × 108 |
| Q3 | 3.8810811 × 108 |
| 95-th percentile | 6.0591363 × 108 |
| Maximum | 7.0306429 × 108 |
| Range | 7.0220617 × 108 |
| Interquartile range (IQR) | 2.4796679 × 108 |
Descriptive statistics
| Standard deviation | 1.7117573 × 108 |
|---|---|
| Coefficient of variation (CV) | 0.61300875 |
| Kurtosis | -0.58841698 |
| Mean | 2.7923865 × 108 |
| Median Absolute Deviation (MAD) | 1.2213142 × 108 |
| Skewness | 0.54510555 |
| Sum | 3.13585 × 1011 |
| Variance | 2.9301131 × 1016 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 858127 | 1 | 0.1% |
| 292773252 | 1 | 0.1% |
| 255056675 | 1 | 0.1% |
| 146028869 | 1 | 0.1% |
| 232201771 | 1 | 0.1% |
| 167464808 | 1 | 0.1% |
| 156759735 | 1 | 0.1% |
| 255893503 | 1 | 0.1% |
| 339741407 | 1 | 0.1% |
| 188461334 | 1 | 0.1% |
| Other values (1113) | 1113 |
| Value | Count | Frequency (%) |
| 858127 | 1 | |
| 908607 | 1 | |
| 925122 | 1 | |
| 1571820 | 1 | |
| 2136580 | 1 | |
| 2290781 | 1 | |
| 2425273 | 1 | |
| 4890816 | 1 | |
| 5771522 | 1 | |
| 8678018 | 1 |
| Value | Count | Frequency (%) |
| 703064293 | 1 | |
| 690579583 | 1 | |
| 689948460 | 1 | |
| 682462552 | 1 | |
| 681597755 | 1 | |
| 679608830 | 1 | |
| 678475435 | 1 | |
| 678200716 | 1 | |
| 677900044 | 1 | |
| 677883930 | 1 |
Project Homepage
Text
MISSING 
| Distinct | 206 |
|---|---|
| Distinct (%) | 35.3% |
| Missing | 539 |
| Missing (%) | 48.0% |
| Memory size | 8.9 KiB |
Length
| Max length | 116 |
|---|---|
| Median length | 0 |
| Mean length | 13.777397 |
| Min length | 0 |
Characters and Unicode
| Total characters | 8046 |
|---|---|
| Distinct characters | 65 |
| Distinct categories | 8 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 204 ? |
|---|---|
| Unique (%) | 34.9% |
Sample
| 1st row | https://pandas.pydata.org |
|---|---|
| 2nd row | https://numpy.org |
| 3rd row | https://arrow.apache.org/ |
| 4th row | http://www.duckdb.org |
| 5th row |
| Value | Count | Frequency (%) |
| http://nasqar.abudhabi.nyu.edu | 2 | 1.0% |
| https://combine-lab.github.io/salmon | 1 | 0.5% |
| https://www.scrna-tools.org | 1 | 0.5% |
| https://arrow.apache.org | 1 | 0.5% |
| http://www.duckdb.org | 1 | 0.5% |
| https://snakemake.readthedocs.io | 1 | 0.5% |
| http://www.satijalab.org/seurat | 1 | 0.5% |
| https://napari.org | 1 | 0.5% |
| https://scanpy.readthedocs.io | 1 | 0.5% |
| http://scvi-tools.org | 1 | 0.5% |
| Other values (195) | 195 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 757 | 9.4% |
| / | 727 | 9.0% |
| s | 489 | 6.1% |
| i | 475 | 5.9% |
| o | 461 | 5.7% |
| e | 413 | 5.1% |
| . | 408 | 5.1% |
| h | 406 | 5.0% |
| a | 366 | 4.5% |
| p | 308 | 3.8% |
| Other values (55) | 3236 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6072 | |
| Other Punctuation | 1339 | 16.6% |
| Decimal Number | 291 | 3.6% |
| Uppercase Letter | 201 | 2.5% |
| Dash Punctuation | 124 | 1.5% |
| Connector Punctuation | 17 | 0.2% |
| Open Punctuation | 1 | < 0.1% |
| Close Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 757 | |
| s | 489 | 8.1% |
| i | 475 | 7.8% |
| o | 461 | 7.6% |
| e | 413 | 6.8% |
| h | 406 | 6.7% |
| a | 366 | 6.0% |
| p | 308 | 5.1% |
| c | 293 | 4.8% |
| r | 283 | 4.7% |
| Other values (16) | 1821 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 29 | |
| S | 27 | |
| A | 23 | |
| R | 16 | 8.0% |
| M | 11 | 5.5% |
| T | 10 | 5.0% |
| I | 9 | 4.5% |
| N | 9 | 4.5% |
| D | 9 | 4.5% |
| O | 9 | 4.5% |
| Other values (12) | 49 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 63 | |
| 0 | 58 | |
| 2 | 42 | |
| 3 | 23 | 7.9% |
| 4 | 22 | 7.6% |
| 6 | 19 | 6.5% |
| 8 | 17 | 5.8% |
| 7 | 16 | 5.5% |
| 9 | 16 | 5.5% |
| 5 | 15 | 5.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 727 | |
| . | 408 | |
| : | 204 | 15.2% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 124 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 17 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6273 | |
| Common | 1773 | 22.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 757 | 12.1% |
| s | 489 | 7.8% |
| i | 475 | 7.6% |
| o | 461 | 7.3% |
| e | 413 | 6.6% |
| h | 406 | 6.5% |
| a | 366 | 5.8% |
| p | 308 | 4.9% |
| c | 293 | 4.7% |
| r | 283 | 4.5% |
| Other values (38) | 2022 |
Common
| Value | Count | Frequency (%) |
| / | 727 | |
| . | 408 | |
| : | 204 | 11.5% |
| - | 124 | 7.0% |
| 1 | 63 | 3.6% |
| 0 | 58 | 3.3% |
| 2 | 42 | 2.4% |
| 3 | 23 | 1.3% |
| 4 | 22 | 1.2% |
| 6 | 19 | 1.1% |
| Other values (7) | 83 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8046 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 757 | 9.4% |
| / | 727 | 9.0% |
| s | 489 | 6.1% |
| i | 475 | 5.9% |
| o | 461 | 5.7% |
| e | 413 | 5.1% |
| . | 408 | 5.1% |
| h | 406 | 5.0% |
| a | 366 | 4.5% |
| p | 308 | 3.8% |
| Other values (55) | 3236 |
Project Repo URL
Text
UNIQUE 
| Distinct | 1123 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Length
| Max length | 157 |
|---|---|
| Median length | 91 |
| Mean length | 45.211932 |
| Min length | 28 |
Characters and Unicode
| Total characters | 50773 |
|---|---|
| Distinct characters | 67 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 1123 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | https://github.com/pandas-dev/pandas |
|---|---|
| 2nd row | https://github.com/numpy/numpy |
| 3rd row | https://github.com/apache/arrow |
| 4th row | https://github.com/duckdb/duckdb |
| 5th row | https://github.com/apache/parquet-mr |
| Value | Count | Frequency (%) |
| https://github.com/pandas-dev/pandas | 1 | 0.1% |
| https://github.com/scverse/scanpy | 1 | 0.1% |
| https://github.com/duckdb/duckdb | 1 | 0.1% |
| https://github.com/apache/parquet-mr | 1 | 0.1% |
| https://github.com/snakemake/snakemake | 1 | 0.1% |
| https://github.com/satijalab/seurat | 1 | 0.1% |
| https://github.com/napari/napari | 1 | 0.1% |
| https://github.com/chris-mcginnis-ucsf/doubletfinder | 1 | 0.1% |
| https://github.com/theislab/single-cell-tutorial | 1 | 0.1% |
| https://github.com/sqjin/cellchat | 1 | 0.1% |
| Other values (1113) | 1113 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 4492 | 8.8% |
| t | 4402 | 8.7% |
| i | 3032 | 6.0% |
| s | 2940 | 5.8% |
| h | 2809 | 5.5% |
| o | 2442 | 4.8% |
| c | 2302 | 4.5% |
| e | 2218 | 4.4% |
| a | 2211 | 4.4% |
| l | 1917 | 3.8% |
| Other values (57) | 22008 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 37999 | |
| Other Punctuation | 6758 | 13.3% |
| Uppercase Letter | 3741 | 7.4% |
| Dash Punctuation | 1105 | 2.2% |
| Decimal Number | 739 | 1.5% |
| Connector Punctuation | 431 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 4402 | 11.6% |
| i | 3032 | 8.0% |
| s | 2940 | 7.7% |
| h | 2809 | 7.4% |
| o | 2442 | 6.4% |
| c | 2302 | 6.1% |
| e | 2218 | 5.8% |
| a | 2211 | 5.8% |
| l | 1917 | 5.0% |
| g | 1817 | 4.8% |
| Other values (16) | 11909 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 476 | |
| C | 466 | |
| S | 451 | |
| R | 255 | 6.8% |
| N | 238 | 6.4% |
| M | 193 | 5.2% |
| L | 173 | 4.6% |
| T | 173 | 4.6% |
| P | 157 | 4.2% |
| I | 157 | 4.2% |
| Other values (16) | 1002 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 196 | |
| 0 | 153 | |
| 1 | 127 | |
| 9 | 54 | 7.3% |
| 3 | 47 | 6.4% |
| 8 | 43 | 5.8% |
| 4 | 39 | 5.3% |
| 7 | 31 | 4.2% |
| 5 | 27 | 3.7% |
| 6 | 22 | 3.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 4492 | |
| . | 1143 | 16.9% |
| : | 1123 | 16.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1105 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 431 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 41740 | |
| Common | 9033 | 17.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 4402 | 10.5% |
| i | 3032 | 7.3% |
| s | 2940 | 7.0% |
| h | 2809 | 6.7% |
| o | 2442 | 5.9% |
| c | 2302 | 5.5% |
| e | 2218 | 5.3% |
| a | 2211 | 5.3% |
| l | 1917 | 4.6% |
| g | 1817 | 4.4% |
| Other values (42) | 15650 |
Common
| Value | Count | Frequency (%) |
| / | 4492 | |
| . | 1143 | 12.7% |
| : | 1123 | 12.4% |
| - | 1105 | 12.2% |
| _ | 431 | 4.8% |
| 2 | 196 | 2.2% |
| 0 | 153 | 1.7% |
| 1 | 127 | 1.4% |
| 9 | 54 | 0.6% |
| 3 | 47 | 0.5% |
| Other values (5) | 162 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 50773 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 4492 | 8.8% |
| t | 4402 | 8.7% |
| i | 3032 | 6.0% |
| s | 2940 | 5.8% |
| h | 2809 | 5.5% |
| o | 2442 | 4.8% |
| c | 2302 | 4.5% |
| e | 2218 | 4.4% |
| a | 2211 | 4.4% |
| l | 1917 | 3.8% |
| Other values (57) | 22008 |
Project Landscape Category
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
GitHub Stars
Real number (ℝ)
HIGH CORRELATION  SKEWED  ZEROS 
| Distinct | 160 |
|---|---|
| Distinct (%) | 14.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 118.76313 |
| Minimum | 0 |
|---|---|
| Maximum | 40031 |
| Zeros | 44 |
| Zeros (%) | 3.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 3 |
| Q3 | 16 |
| 95-th percentile | 193.7 |
| Maximum | 40031 |
| Range | 40031 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 1505.2762 |
|---|---|
| Coefficient of variation (CV) | 12.674608 |
| Kurtosis | 512.24869 |
| Mean | 118.76313 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 21.555404 |
| Sum | 133371 |
| Variance | 2265856.4 |
| Monotonicity | Decreasing |
| Value | Count | Frequency (%) |
| 1 | 316 | |
| 2 | 130 | 11.6% |
| 3 | 88 | 7.8% |
| 4 | 66 | 5.9% |
| 0 | 44 | 3.9% |
| 5 | 39 | 3.5% |
| 6 | 28 | 2.5% |
| 8 | 24 | 2.1% |
| 7 | 20 | 1.8% |
| 9 | 18 | 1.6% |
| Other values (150) | 350 |
| Value | Count | Frequency (%) |
| 0 | 44 | 3.9% |
| 1 | 316 | |
| 2 | 130 | |
| 3 | 88 | 7.8% |
| 4 | 66 | 5.9% |
| 5 | 39 | 3.5% |
| 6 | 28 | 2.5% |
| 7 | 20 | 1.8% |
| 8 | 24 | 2.1% |
| 9 | 18 | 1.6% |
| Value | Count | Frequency (%) |
| 40031 | 1 | |
| 24741 | 1 | |
| 12614 | 1 | |
| 12393 | 1 | |
| 2179 | 1 | |
| 1955 | 1 | |
| 1947 | 1 | |
| 1912 | 1 | |
| 1612 | 1 | |
| 1592 | 1 |
GitHub Forks
Real number (ℝ)
HIGH CORRELATION  SKEWED  ZEROS 
| Distinct | 96 |
|---|---|
| Distinct (%) | 8.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.96171 |
| Minimum | 0 |
|---|---|
| Maximum | 16810 |
| Zeros | 435 |
| Zeros (%) | 38.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 6 |
| 95-th percentile | 52.9 |
| Maximum | 16810 |
| Range | 16810 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 575.00662 |
|---|---|
| Coefficient of variation (CV) | 14.758249 |
| Kurtosis | 691.20536 |
| Mean | 38.96171 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 25.304441 |
| Sum | 43754 |
| Variance | 330632.61 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 167 | 14.9% |
| 2 | 103 | 9.2% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 6 | 30 | 2.7% |
| 5 | 25 | 2.2% |
| 8 | 23 | 2.0% |
| 9 | 19 | 1.7% |
| 7 | 18 | 1.6% |
| Other values (86) | 194 |
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 167 | 14.9% |
| 2 | 103 | 9.2% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 5 | 25 | 2.2% |
| 6 | 30 | 2.7% |
| 7 | 18 | 1.6% |
| 8 | 23 | 2.0% |
| 9 | 19 | 1.7% |
| Value | Count | Frequency (%) |
| 16810 | 1 | |
| 8647 | 1 | |
| 3096 | 1 | |
| 1332 | 1 | |
| 1157 | 1 | |
| 851 | 1 | |
| 536 | 1 | |
| 474 | 1 | |
| 473 | 1 | |
| 422 | 1 |
GitHub Subscribers
Real number (ℝ)
HIGH CORRELATION  SKEWED  ZEROS 
| Distinct | 45 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.2288513 |
| Minimum | 0 |
|---|---|
| Maximum | 1121 |
| Zeros | 52 |
| Zeros (%) | 4.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 15 |
| Maximum | 1121 |
| Range | 1121 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 40.027421 |
|---|---|
| Coefficient of variation (CV) | 6.4261321 |
| Kurtosis | 583.17272 |
| Mean | 6.2288513 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 22.780218 |
| Sum | 6995 |
| Variance | 1602.1945 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 363 | |
| 2 | 247 | |
| 3 | 116 | 10.3% |
| 4 | 74 | 6.6% |
| 0 | 52 | 4.6% |
| 5 | 47 | 4.2% |
| 6 | 37 | 3.3% |
| 7 | 34 | 3.0% |
| 8 | 24 | 2.1% |
| 9 | 19 | 1.7% |
| Other values (35) | 110 | 9.8% |
| Value | Count | Frequency (%) |
| 0 | 52 | 4.6% |
| 1 | 363 | |
| 2 | 247 | |
| 3 | 116 | 10.3% |
| 4 | 74 | 6.6% |
| 5 | 47 | 4.2% |
| 6 | 37 | 3.3% |
| 7 | 34 | 3.0% |
| 8 | 24 | 2.1% |
| 9 | 19 | 1.7% |
| Value | Count | Frequency (%) |
| 1121 | 1 | |
| 595 | 1 | |
| 351 | 1 | |
| 157 | 1 | |
| 95 | 1 | |
| 86 | 1 | |
| 78 | 1 | |
| 54 | 1 | |
| 51 | 1 | |
| 49 | 1 |
GitHub Open Issues
Real number (ℝ)
HIGH CORRELATION  ZEROS 
| Distinct | 80 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.506679 |
| Minimum | 0 |
|---|---|
| Maximum | 3908 |
| Zeros | 674 |
| Zeros (%) | 60.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 31.9 |
| Maximum | 3908 |
| Range | 3908 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 181.0509 |
|---|---|
| Coefficient of variation (CV) | 9.7830035 |
| Kurtosis | 354.14214 |
| Mean | 18.506679 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.999386 |
| Sum | 20783 |
| Variance | 32779.428 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 674 | |
| 1 | 125 | 11.1% |
| 2 | 53 | 4.7% |
| 3 | 33 | 2.9% |
| 6 | 26 | 2.3% |
| 4 | 26 | 2.3% |
| 5 | 14 | 1.2% |
| 8 | 14 | 1.2% |
| 7 | 13 | 1.2% |
| 11 | 8 | 0.7% |
| Other values (70) | 137 | 12.2% |
| Value | Count | Frequency (%) |
| 0 | 674 | |
| 1 | 125 | 11.1% |
| 2 | 53 | 4.7% |
| 3 | 33 | 2.9% |
| 4 | 26 | 2.3% |
| 5 | 14 | 1.2% |
| 6 | 26 | 2.3% |
| 7 | 13 | 1.2% |
| 8 | 14 | 1.2% |
| 9 | 7 | 0.6% |
| Value | Count | Frequency (%) |
| 3908 | 1 | |
| 3656 | 1 | |
| 2193 | 1 | |
| 1019 | 1 | |
| 906 | 1 | |
| 701 | 1 | |
| 547 | 1 | |
| 424 | 1 | |
| 363 | 1 | |
| 309 | 1 |
GitHub Contributors
Real number (ℝ)
HIGH CORRELATION  ZEROS 
| Distinct | 38 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.6073019 |
| Minimum | 0 |
|---|---|
| Maximum | 435 |
| Zeros | 27 |
| Zeros (%) | 2.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 10 |
| Maximum | 435 |
| Range | 435 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 25.443233 |
|---|---|
| Coefficient of variation (CV) | 5.5223717 |
| Kurtosis | 190.13087 |
| Mean | 4.6073019 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 13.186791 |
| Sum | 5174 |
| Variance | 647.35813 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 659 | |
| 2 | 143 | 12.7% |
| 3 | 102 | 9.1% |
| 4 | 60 | 5.3% |
| 5 | 29 | 2.6% |
| 0 | 27 | 2.4% |
| 6 | 15 | 1.3% |
| 7 | 11 | 1.0% |
| 11 | 10 | 0.9% |
| 10 | 10 | 0.9% |
| Other values (28) | 57 | 5.1% |
| Value | Count | Frequency (%) |
| 0 | 27 | 2.4% |
| 1 | 659 | |
| 2 | 143 | 12.7% |
| 3 | 102 | 9.1% |
| 4 | 60 | 5.3% |
| 5 | 29 | 2.6% |
| 6 | 15 | 1.3% |
| 7 | 11 | 1.0% |
| 8 | 9 | 0.8% |
| 9 | 8 | 0.7% |
| Value | Count | Frequency (%) |
| 435 | 1 | |
| 411 | 1 | |
| 367 | 1 | |
| 280 | 1 | |
| 253 | 1 | |
| 190 | 1 | |
| 150 | 1 | |
| 125 | 1 | |
| 83 | 1 | |
| 79 | 1 |
GitHub License Type
Categorical
MISSING 
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 551 |
| Missing (%) | 49.1% |
| Memory size | 8.9 KiB |
| MIT | |
|---|---|
| GPL-3.0 | |
| NOASSERTION | |
| BSD-3-Clause | |
| Apache-2.0 | |
| Other values (10) |
Length
| Max length | 18 |
|---|---|
| Median length | 12 |
| Mean length | 6.7412587 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3856 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 0.7% |
Sample
| 1st row | BSD-3-Clause |
|---|---|
| 2nd row | BSD-3-Clause |
| 3rd row | Apache-2.0 |
| 4th row | MIT |
| 5th row | Apache-2.0 |
Common Values
| Value | Count | Frequency (%) |
| MIT | 211 | 18.8% |
| GPL-3.0 | 163 | 14.5% |
| NOASSERTION | 73 | 6.5% |
| BSD-3-Clause | 49 | 4.4% |
| Apache-2.0 | 29 | 2.6% |
| CC0-1.0 | 13 | 1.2% |
| AGPL-3.0 | 9 | 0.8% |
| BSD-2-Clause | 7 | 0.6% |
| GPL-2.0 | 7 | 0.6% |
| LGPL-3.0 | 4 | 0.4% |
| Other values (5) | 7 | 0.6% |
| (Missing) | 551 |
Length
| Value | Count | Frequency (%) |
| mit | 211 | |
| gpl-3.0 | 163 | |
| noassertion | 73 | 12.8% |
| bsd-3-clause | 49 | 8.6% |
| apache-2.0 | 29 | 5.1% |
| cc0-1.0 | 13 | 2.3% |
| agpl-3.0 | 9 | 1.6% |
| bsd-2-clause | 7 | 1.2% |
| gpl-2.0 | 7 | 1.2% |
| lgpl-3.0 | 4 | 0.7% |
| Other values (5) | 7 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| - | 348 | 9.0% |
| I | 284 | 7.4% |
| T | 284 | 7.4% |
| 0 | 243 | 6.3% |
| . | 230 | 6.0% |
| 3 | 226 | 5.9% |
| M | 212 | 5.5% |
| S | 203 | 5.3% |
| L | 188 | 4.9% |
| P | 184 | 4.8% |
| Other values (26) | 1454 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 2299 | |
| Decimal Number | 530 | 13.7% |
| Lowercase Letter | 449 | 11.6% |
| Dash Punctuation | 348 | 9.0% |
| Other Punctuation | 230 | 6.0% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 284 | |
| T | 284 | |
| M | 212 | |
| S | 203 | |
| L | 188 | |
| P | 184 | |
| G | 183 | |
| N | 146 | |
| O | 146 | |
| A | 112 | 4.9% |
| Other values (7) | 357 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 89 | |
| a | 87 | |
| l | 59 | |
| s | 59 | |
| u | 57 | |
| c | 31 | 6.9% |
| h | 29 | 6.5% |
| p | 29 | 6.5% |
| i | 3 | 0.7% |
| r | 2 | 0.4% |
| Other values (2) | 4 | 0.9% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 243 | |
| 3 | 226 | |
| 2 | 45 | 8.5% |
| 1 | 13 | 2.5% |
| 4 | 3 | 0.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 348 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 230 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2748 | |
| Common | 1108 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| I | 284 | 10.3% |
| T | 284 | 10.3% |
| M | 212 | 7.7% |
| S | 203 | 7.4% |
| L | 188 | 6.8% |
| P | 184 | 6.7% |
| G | 183 | 6.7% |
| N | 146 | 5.3% |
| O | 146 | 5.3% |
| A | 112 | 4.1% |
| Other values (19) | 806 |
Common
| Value | Count | Frequency (%) |
| - | 348 | |
| 0 | 243 | |
| . | 230 | |
| 3 | 226 | |
| 2 | 45 | 4.1% |
| 1 | 13 | 1.2% |
| 4 | 3 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3856 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| - | 348 | 9.0% |
| I | 284 | 7.4% |
| T | 284 | 7.4% |
| 0 | 243 | 6.3% |
| . | 230 | 6.0% |
| 3 | 226 | 5.9% |
| M | 212 | 5.5% |
| S | 203 | 5.3% |
| L | 188 | 4.9% |
| P | 184 | 4.8% |
| Other values (26) | 1454 |
MISSING 
| Distinct | 1057 |
|---|---|
| Distinct (%) | 98.9% |
| Missing | 54 |
| Missing (%) | 4.8% |
| Memory size | 8.9 KiB |
Length
| Max length | 10997 |
|---|---|
| Median length | 343 |
| Mean length | 134.06642 |
| Min length | 7 |
Characters and Unicode
| Total characters | 143317 |
|---|---|
| Distinct characters | 111 |
| Distinct categories | 16 ? |
| Distinct scripts | 5 ? |
| Distinct blocks | 6 ? |
Unique
| Unique | 1045 ? |
|---|---|
| Unique (%) | 97.8% |
Sample
| 1st row | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more |
|---|---|
| 2nd row | The fundamental package for scientific computing with Python. |
| 3rd row | Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing |
| 4th row | DuckDB is an in-process SQL OLAP Database Management System |
| 5th row | Apache Parquet |
| Value | Count | Frequency (%) |
| analysis | 950 | 4.7% |
| of | 791 | 3.9% |
| and | 673 | 3.3% |
| the | 669 | 3.3% |
| for | 654 | 3.3% |
| cell | 517 | 2.6% |
| single-cell | 468 | 2.3% |
| data | 451 | 2.2% |
| single | 396 | 2.0% |
| a | 366 | 1.8% |
| Other values (4025) | 14177 |
Most occurring characters
| Value | Count | Frequency (%) |
| 19189 | ||
| e | 12687 | 8.9% |
| a | 9933 | 6.9% |
| i | 9819 | 6.9% |
| n | 8845 | 6.2% |
| s | 8728 | 6.1% |
| l | 8228 | 5.7% |
| o | 7918 | 5.5% |
| t | 7893 | 5.5% |
| r | 6159 | 4.3% |
| Other values (101) | 43918 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 111625 | |
| Space Separator | 19228 | 13.4% |
| Uppercase Letter | 7159 | 5.0% |
| Other Punctuation | 2195 | 1.5% |
| Dash Punctuation | 1305 | 0.9% |
| Decimal Number | 1194 | 0.8% |
| Close Punctuation | 235 | 0.2% |
| Open Punctuation | 229 | 0.2% |
| Math Symbol | 51 | < 0.1% |
| Final Punctuation | 40 | < 0.1% |
| Other values (6) | 56 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 12687 | |
| a | 9933 | 8.9% |
| i | 9819 | 8.8% |
| n | 8845 | 7.9% |
| s | 8728 | 7.8% |
| l | 8228 | 7.4% |
| o | 7918 | 7.1% |
| t | 7893 | 7.1% |
| r | 6159 | 5.5% |
| c | 4959 | 4.4% |
| Other values (19) | 26456 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1116 | |
| S | 777 | |
| R | 737 | |
| C | 708 | |
| N | 606 | |
| T | 405 | 5.7% |
| D | 359 | 5.0% |
| P | 329 | 4.6% |
| I | 320 | 4.5% |
| M | 289 | 4.0% |
| Other values (16) | 1513 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 909 | |
| , | 624 | |
| : | 186 | 8.5% |
| / | 173 | 7.9% |
| " | 169 | 7.7% |
| % | 40 | 1.8% |
| ' | 37 | 1.7% |
| ; | 18 | 0.8% |
| & | 14 | 0.6% |
| ! | 7 | 0.3% |
| Other values (4) | 18 | 0.8% |
Other Symbol
| Value | Count | Frequency (%) |
| ▪ | 6 | |
| 🐟 | 1 | 6.2% |
| 🏔 | 1 | 6.2% |
| 🌍 | 1 | 6.2% |
| 🍱 | 1 | 6.2% |
| 🍣 | 1 | 6.2% |
| 🦀 | 1 | 6.2% |
| 🔬 | 1 | 6.2% |
| 🧬 | 1 | 6.2% |
| 🌸 | 1 | 6.2% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 262 | |
| 0 | 252 | |
| 1 | 207 | |
| 3 | 92 | 7.7% |
| 9 | 86 | 7.2% |
| 5 | 70 | 5.9% |
| 7 | 70 | 5.9% |
| 4 | 62 | 5.2% |
| 8 | 48 | 4.0% |
| 6 | 45 | 3.8% |
Math Symbol
| Value | Count | Frequency (%) |
| = | 22 | |
| + | 15 | |
| > | 9 | |
| < | 4 | 7.8% |
| ~ | 1 | 2.0% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1302 | |
| — | 2 | 0.2% |
| – | 1 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 19189 | ||
| 39 | 0.2% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 232 | |
| ] | 3 | 1.3% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 226 | |
| [ | 3 | 1.3% |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 32 | |
| ” | 8 | 20.0% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 29 |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 8 |
Nonspacing Mark
| Value | Count | Frequency (%) |
| ️ | 1 |
Other Letter
| Value | Count | Frequency (%) |
| 桜 | 1 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 118783 | |
| Common | 24531 | 17.1% |
| Inherited | 1 | < 0.1% |
| Han | 1 | < 0.1% |
| Greek | 1 | < 0.1% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 19189 | ||
| - | 1302 | 5.3% |
| . | 909 | 3.7% |
| , | 624 | 2.5% |
| 2 | 262 | 1.1% |
| 0 | 252 | 1.0% |
| ) | 232 | 0.9% |
| ( | 226 | 0.9% |
| 1 | 207 | 0.8% |
| : | 186 | 0.8% |
| Other values (44) | 1142 | 4.7% |
Latin
| Value | Count | Frequency (%) |
| e | 12687 | 10.7% |
| a | 9933 | 8.4% |
| i | 9819 | 8.3% |
| n | 8845 | 7.4% |
| s | 8728 | 7.3% |
| l | 8228 | 6.9% |
| o | 7918 | 6.7% |
| t | 7893 | 6.6% |
| r | 6159 | 5.2% |
| c | 4959 | 4.2% |
| Other values (44) | 33614 |
Inherited
| Value | Count | Frequency (%) |
| ️ | 1 |
Han
| Value | Count | Frequency (%) |
| 桜 | 1 |
Greek
| Value | Count | Frequency (%) |
| α | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 143204 | |
| None | 54 | < 0.1% |
| Punctuation | 51 | < 0.1% |
| Geometric Shapes | 6 | < 0.1% |
| VS | 1 | < 0.1% |
| CJK | 1 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 19189 | ||
| e | 12687 | 8.9% |
| a | 9933 | 6.9% |
| i | 9819 | 6.9% |
| n | 8845 | 6.2% |
| s | 8728 | 6.1% |
| l | 8228 | 5.7% |
| o | 7918 | 5.5% |
| t | 7893 | 5.5% |
| r | 6159 | 4.3% |
| Other values (79) | 43805 |
None
| Value | Count | Frequency (%) |
| 39 | ||
| ü | 3 | 5.6% |
| 🐟 | 1 | 1.9% |
| 🏔 | 1 | 1.9% |
| 🌍 | 1 | 1.9% |
| 🍱 | 1 | 1.9% |
| 🍣 | 1 | 1.9% |
| 🦀 | 1 | 1.9% |
| é | 1 | 1.9% |
| 🔬 | 1 | 1.9% |
| Other values (4) | 4 | 7.4% |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 32 | |
| ” | 8 | 15.7% |
| “ | 8 | 15.7% |
| — | 2 | 3.9% |
| – | 1 | 2.0% |
Geometric Shapes
| Value | Count | Frequency (%) |
| ▪ | 6 |
VS
| Value | Count | Frequency (%) |
| ️ | 1 |
CJK
| Value | Count | Frequency (%) |
| 桜 | 1 |
GitHub Topics
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
MISSING 
| Distinct | 263 |
|---|---|
| Distinct (%) | 66.8% |
| Missing | 729 |
| Missing (%) | 64.9% |
| Memory size | 8.9 KiB |
Length
| Max length | 37 |
|---|---|
| Median length | 28 |
| Mean length | 11.530457 |
| Min length | 3 |
Characters and Unicode
| Total characters | 4543 |
|---|---|
| Distinct characters | 57 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 203 ? |
|---|---|
| Unique (%) | 51.5% |
Sample
| 1st row | pandas-dev |
|---|---|
| 2nd row | numpy |
| 3rd row | apache |
| 4th row | duckdb |
| 5th row | apache |
| Value | Count | Frequency (%) |
| theislab | 13 | 3.3% |
| ucdavis-bioinformatics-training | 9 | 2.3% |
| teichlab | 8 | 2.0% |
| broadinstitute | 7 | 1.8% |
| scverse | 6 | 1.5% |
| immunogenomics | 5 | 1.3% |
| cytomining | 5 | 1.3% |
| kharchenkolab | 5 | 1.3% |
| icbi-lab | 5 | 1.3% |
| oshlack | 5 | 1.3% |
| Other values (253) | 326 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 481 | 10.6% |
| i | 361 | 7.9% |
| e | 331 | 7.3% |
| b | 292 | 6.4% |
| l | 286 | 6.3% |
| n | 280 | 6.2% |
| o | 260 | 5.7% |
| s | 252 | 5.5% |
| r | 213 | 4.7% |
| c | 198 | 4.4% |
| Other values (47) | 1589 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3910 | |
| Uppercase Letter | 458 | 10.1% |
| Dash Punctuation | 162 | 3.6% |
| Decimal Number | 13 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 481 | |
| i | 361 | 9.2% |
| e | 331 | 8.5% |
| b | 292 | 7.5% |
| l | 286 | 7.3% |
| n | 280 | 7.2% |
| o | 260 | 6.6% |
| s | 252 | 6.4% |
| r | 213 | 5.4% |
| c | 198 | 5.1% |
| Other values (16) | 956 |
Uppercase Letter
| Value | Count | Frequency (%) |
| L | 70 | |
| C | 48 | |
| B | 47 | 10.3% |
| S | 37 | 8.1% |
| M | 31 | 6.8% |
| I | 30 | 6.6% |
| T | 21 | 4.6% |
| G | 20 | 4.4% |
| R | 18 | 3.9% |
| A | 18 | 3.9% |
| Other values (14) | 118 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 3 | |
| 0 | 3 | |
| 1 | 3 | |
| 4 | 2 | |
| 9 | 1 | 7.7% |
| 3 | 1 | 7.7% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 162 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4368 | |
| Common | 175 | 3.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 481 | 11.0% |
| i | 361 | 8.3% |
| e | 331 | 7.6% |
| b | 292 | 6.7% |
| l | 286 | 6.5% |
| n | 280 | 6.4% |
| o | 260 | 6.0% |
| s | 252 | 5.8% |
| r | 213 | 4.9% |
| c | 198 | 4.5% |
| Other values (40) | 1414 |
Common
| Value | Count | Frequency (%) |
| - | 162 | |
| 2 | 3 | 1.7% |
| 0 | 3 | 1.7% |
| 1 | 3 | 1.7% |
| 4 | 2 | 1.1% |
| 9 | 1 | 0.6% |
| 3 | 1 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4543 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 481 | 10.6% |
| i | 361 | 7.9% |
| e | 331 | 7.3% |
| b | 292 | 6.4% |
| l | 286 | 6.3% |
| n | 280 | 6.2% |
| o | 260 | 5.7% |
| s | 252 | 5.5% |
| r | 213 | 4.7% |
| c | 198 | 4.4% |
| Other values (47) | 1589 |
GitHub Network Count
Real number (ℝ)
HIGH CORRELATION  SKEWED  ZEROS 
| Distinct | 97 |
|---|---|
| Distinct (%) | 8.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.024043 |
| Minimum | 0 |
|---|---|
| Maximum | 16810 |
| Zeros | 435 |
| Zeros (%) | 38.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 6 |
| 95-th percentile | 54.8 |
| Maximum | 16810 |
| Range | 16810 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 575.00601 |
|---|---|
| Coefficient of variation (CV) | 14.73466 |
| Kurtosis | 691.19731 |
| Mean | 39.024043 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 25.304196 |
| Sum | 43824 |
| Variance | 330631.91 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 166 | 14.8% |
| 2 | 103 | 9.2% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 6 | 29 | 2.6% |
| 5 | 25 | 2.2% |
| 8 | 23 | 2.0% |
| 9 | 20 | 1.8% |
| 7 | 18 | 1.6% |
| Other values (87) | 195 |
| Value | Count | Frequency (%) |
| 0 | 435 | |
| 1 | 166 | 14.8% |
| 2 | 103 | 9.2% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 5 | 25 | 2.2% |
| 6 | 29 | 2.6% |
| 7 | 18 | 1.6% |
| 8 | 23 | 2.0% |
| 9 | 20 | 1.8% |
| Value | Count | Frequency (%) |
| 16810 | 1 | |
| 8647 | 1 | |
| 3096 | 1 | |
| 1332 | 1 | |
| 1157 | 1 | |
| 851 | 1 | |
| 536 | 1 | |
| 474 | 1 | |
| 473 | 1 | |
| 422 | 1 |
GitHub Detected Languages
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Date Created
Date
UNIQUE 
| Distinct | 1123 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| Minimum | 2010-08-24 01:37:33+00:00 |
|---|---|
| Maximum | 2023-10-10 14:24:36+00:00 |
UNIQUE 
| Distinct | 1123 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| Minimum | 2011-06-21 13:44:00+00:00 |
|---|---|
| Maximum | 2023-10-16 17:19:16+00:00 |
Duration Created to Most Recent Commit
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Duration Created to Now
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Duration Most Recent Commit to Now
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Repository Size (KB)
Real number (ℝ)
HIGH CORRELATION 
| Distinct | 1010 |
|---|---|
| Distinct (%) | 89.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75421.258 |
| Minimum | 1 |
|---|---|
| Maximum | 1922901 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 16.1 |
| Q1 | 688 |
| median | 10748 |
| Q3 | 65047 |
| 95-th percentile | 360260.2 |
| Maximum | 1922901 |
| Range | 1922900 |
| Interquartile range (IQR) | 64359 |
Descriptive statistics
| Standard deviation | 186112.08 |
|---|---|
| Coefficient of variation (CV) | 2.4676342 |
| Kurtosis | 39.984656 |
| Mean | 75421.258 |
| Median Absolute Deviation (MAD) | 10707 |
| Skewness | 5.5453982 |
| Sum | 84698073 |
| Variance | 3.4637706 × 1010 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 6 | 10 | 0.9% |
| 26 | 7 | 0.6% |
| 13 | 6 | 0.5% |
| 3 | 6 | 0.5% |
| 67 | 5 | 0.4% |
| 16 | 5 | 0.4% |
| 24 | 5 | 0.4% |
| 22 | 4 | 0.4% |
| 30 | 4 | 0.4% |
| 9 | 4 | 0.4% |
| Other values (1000) | 1067 |
| Value | Count | Frequency (%) |
| 1 | 2 | 0.2% |
| 2 | 2 | 0.2% |
| 3 | 6 | |
| 4 | 3 | 0.3% |
| 5 | 3 | 0.3% |
| 6 | 10 | |
| 7 | 3 | 0.3% |
| 8 | 3 | 0.3% |
| 9 | 4 | 0.4% |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1922901 | 1 | |
| 1921765 | 1 | |
| 1792729 | 1 | |
| 1590023 | 1 | |
| 1496132 | 1 | |
| 1461986 | 1 | |
| 1447466 | 1 | |
| 1293566 | 1 | |
| 1245051 | 1 | |
| 1068214 | 1 |
GitHub Repo Archived
Boolean
IMBALANCE 
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.2 KiB |
| False | |
|---|---|
| True | 13 |
| Value | Count | Frequency (%) |
| False | 1110 | |
| True | 13 | 1.2% |
Duration Created to Now in Years
Real number (ℝ)
HIGH CORRELATION 
| Distinct | 922 |
|---|---|
| Distinct (%) | 82.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.8459947 |
| Minimum | 0.016438356 |
|---|---|
| Maximum | 13.153425 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0.016438356 |
|---|---|
| 5-th percentile | 0.64136986 |
| Q1 | 2.2383562 |
| median | 3.5424658 |
| Q3 | 5.2767123 |
| 95-th percentile | 7.8227397 |
| Maximum | 13.153425 |
| Range | 13.136986 |
| Interquartile range (IQR) | 3.0383562 |
Descriptive statistics
| Standard deviation | 2.2608595 |
|---|---|
| Coefficient of variation (CV) | 0.5878478 |
| Kurtosis | 0.82630623 |
| Mean | 3.8459947 |
| Median Absolute Deviation (MAD) | 1.4767123 |
| Skewness | 0.76392392 |
| Sum | 4319.0521 |
| Variance | 5.1114857 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 4.142465753 | 4 | 0.4% |
| 2.695890411 | 4 | 0.4% |
| 0.7369863014 | 3 | 0.3% |
| 0.8356164384 | 3 | 0.3% |
| 4.383561644 | 3 | 0.3% |
| 2.679452055 | 3 | 0.3% |
| 3.682191781 | 3 | 0.3% |
| 3.504109589 | 3 | 0.3% |
| 5.520547945 | 3 | 0.3% |
| 2.252054795 | 3 | 0.3% |
| Other values (912) | 1091 |
| Value | Count | Frequency (%) |
| 0.01643835616 | 1 | |
| 0.09315068493 | 1 | |
| 0.09589041096 | 1 | |
| 0.1452054795 | 1 | |
| 0.1506849315 | 1 | |
| 0.1643835616 | 1 | |
| 0.1726027397 | 2 | |
| 0.1753424658 | 2 | |
| 0.2219178082 | 2 | |
| 0.2328767123 | 1 |
| Value | Count | Frequency (%) |
| 13.15342466 | 1 | |
| 13.09589041 | 1 | |
| 13.07945205 | 1 | |
| 12.53972603 | 1 | |
| 12.21643836 | 1 | |
| 12.1369863 | 1 | |
| 12.07671233 | 1 | |
| 11.28767123 | 1 | |
| 11.09863014 | 1 | |
| 10.60821918 | 1 |
Negative Duration Most Recent Commit to Now
Unsupported
REJECTED  UNSUPPORTED 
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
category
Categorical
HIGH CORRELATION  IMBALANCE 
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
| github-query-result | |
|---|---|
| adjacent-tools | 100 |
| relevant-open-source | 8 |
| microscopy-analysis-tools | 7 |
| loi-focus | 4 |
Length
| Max length | 25 |
|---|---|
| Median length | 19 |
| Mean length | 18.563669 |
| Min length | 9 |
Characters and Unicode
| Total characters | 20847 |
|---|---|
| Distinct characters | 23 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | relevant-open-source |
|---|---|
| 2nd row | relevant-open-source |
| 3rd row | relevant-open-source |
| 4th row | relevant-open-source |
| 5th row | relevant-open-source |
Common Values
| Value | Count | Frequency (%) |
| github-query-result | 1004 | |
| adjacent-tools | 100 | 8.9% |
| relevant-open-source | 8 | 0.7% |
| microscopy-analysis-tools | 7 | 0.6% |
| loi-focus | 4 | 0.4% |
Length
Common Values (Plot)
| Value | Count | Frequency (%) |
| github-query-result | 1004 | |
| adjacent-tools | 100 | 8.9% |
| relevant-open-source | 8 | 0.7% |
| microscopy-analysis-tools | 7 | 0.6% |
| loi-focus | 4 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| u | 3024 | |
| t | 2223 | |
| - | 2142 | |
| e | 2140 | |
| r | 2031 | |
| s | 1144 | 5.5% |
| l | 1130 | 5.4% |
| i | 1022 | 4.9% |
| y | 1018 | 4.9% |
| g | 1004 | 4.8% |
| Other values (13) | 3969 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 18705 | |
| Dash Punctuation | 2142 | 10.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| u | 3024 | |
| t | 2223 | |
| e | 2140 | |
| r | 2031 | |
| s | 1144 | 6.1% |
| l | 1130 | 6.0% |
| i | 1022 | 5.5% |
| y | 1018 | 5.4% |
| g | 1004 | 5.4% |
| q | 1004 | 5.4% |
| Other values (12) | 2965 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 2142 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 18705 | |
| Common | 2142 | 10.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| u | 3024 | |
| t | 2223 | |
| e | 2140 | |
| r | 2031 | |
| s | 1144 | 6.1% |
| l | 1130 | 6.0% |
| i | 1022 | 5.5% |
| y | 1018 | 5.4% |
| g | 1004 | 5.4% |
| q | 1004 | 5.4% |
| Other values (12) | 2965 |
Common
| Value | Count | Frequency (%) |
| - | 2142 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20847 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| u | 3024 | |
| t | 2223 | |
| - | 2142 | |
| e | 2140 | |
| r | 2031 | |
| s | 1144 | 5.5% |
| l | 1130 | 5.4% |
| i | 1022 | 4.9% |
| y | 1018 | 4.9% |
| g | 1004 | 4.8% |
| Other values (13) | 3969 |
GitHub Stars (Log Scale)
Real number (ℝ)
HIGH CORRELATION  MISSING  ZEROS 
| Distinct | 159 |
|---|---|
| Distinct (%) | 14.7% |
| Missing | 44 |
| Missing (%) | 3.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.7550269 |
| Minimum | 0 |
|---|---|
| Maximum | 10.597409 |
| Zeros | 316 |
| Zeros (%) | 28.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1.3862944 |
| Q3 | 2.8903718 |
| 95-th percentile | 5.3126267 |
| Maximum | 10.597409 |
| Range | 10.597409 |
| Interquartile range (IQR) | 2.8903718 |
Descriptive statistics
| Standard deviation | 1.7911075 |
|---|---|
| Coefficient of variation (CV) | 1.0205585 |
| Kurtosis | 1.3162256 |
| Mean | 1.7550269 |
| Median Absolute Deviation (MAD) | 1.3862944 |
| Skewness | 1.1530398 |
| Sum | 1893.674 |
| Variance | 3.2080662 |
| Monotonicity | Decreasing |
| Value | Count | Frequency (%) |
| 0 | 316 | |
| 0.6931471806 | 130 | 11.6% |
| 1.098612289 | 88 | 7.8% |
| 1.386294361 | 66 | 5.9% |
| 1.609437912 | 39 | 3.5% |
| 1.791759469 | 28 | 2.5% |
| 2.079441542 | 24 | 2.1% |
| 1.945910149 | 20 | 1.8% |
| 2.197224577 | 18 | 1.6% |
| 2.708050201 | 15 | 1.3% |
| Other values (149) | 335 | |
| (Missing) | 44 | 3.9% |
| Value | Count | Frequency (%) |
| 0 | 316 | |
| 0.6931471806 | 130 | |
| 1.098612289 | 88 | 7.8% |
| 1.386294361 | 66 | 5.9% |
| 1.609437912 | 39 | 3.5% |
| 1.791759469 | 28 | 2.5% |
| 1.945910149 | 20 | 1.8% |
| 2.079441542 | 24 | 2.1% |
| 2.197224577 | 18 | 1.6% |
| 2.302585093 | 10 | 0.9% |
| Value | Count | Frequency (%) |
| 10.59740943 | 1 | |
| 10.11621707 | 1 | |
| 9.442562587 | 1 | |
| 9.424887076 | 1 | |
| 7.686621335 | 1 | |
| 7.578145472 | 1 | |
| 7.574045005 | 1 | |
| 7.555905094 | 1 | |
| 7.385230923 | 1 | |
| 7.372746366 | 1 |
total lines of GitHub detected code
Real number (ℝ)
HIGH CORRELATION  SKEWED 
| Distinct | 1116 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9334464.7 |
| Minimum | 101 |
|---|---|
| Maximum | 2.2291975 × 109 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 101 |
|---|---|
| 5-th percentile | 6011.5 |
| Q1 | 46763 |
| median | 195359 |
| Q3 | 1562065 |
| 95-th percentile | 32865361 |
| Maximum | 2.2291975 × 109 |
| Range | 2.2291974 × 109 |
| Interquartile range (IQR) | 1515302 |
Descriptive statistics
| Standard deviation | 75331005 |
|---|---|
| Coefficient of variation (CV) | 8.0702008 |
| Kurtosis | 689.29143 |
| Mean | 9334464.7 |
| Median Absolute Deviation (MAD) | 182408 |
| Skewness | 24.441818 |
| Sum | 1.0482604 × 1010 |
| Variance | 5.6747603 × 1015 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 954832 | 4 | 0.4% |
| 50043 | 2 | 0.2% |
| 102304 | 2 | 0.2% |
| 7465 | 2 | 0.2% |
| 3354 | 2 | 0.2% |
| 22492093 | 1 | 0.1% |
| 2459764 | 1 | 0.1% |
| 60348 | 1 | 0.1% |
| 41456 | 1 | 0.1% |
| 60940 | 1 | 0.1% |
| Other values (1106) | 1106 |
| Value | Count | Frequency (%) |
| 101 | 1 | |
| 397 | 1 | |
| 508 | 1 | |
| 547 | 1 | |
| 587 | 1 | |
| 695 | 1 | |
| 968 | 1 | |
| 1093 | 1 | |
| 1120 | 1 | |
| 1203 | 1 |
| Value | Count | Frequency (%) |
| 2229197511 | 1 | |
| 880847605 | 1 | |
| 280960563 | 1 | |
| 277061560 | 1 | |
| 232185079 | 1 | |
| 192917347 | 1 | |
| 183885622 | 1 | |
| 182341397 | 1 | |
| 178105096 | 1 | |
| 166604099 | 1 |
total lines of GitHub detected code (Log Scale)
Real number (ℝ)
HIGH CORRELATION 
| Distinct | 1116 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.554047 |
| Minimum | 4.6151205 |
|---|---|
| Maximum | 21.524907 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 4.6151205 |
|---|---|
| 5-th percentile | 8.7014293 |
| Q1 | 10.752846 |
| median | 12.182594 |
| Q3 | 14.261488 |
| 95-th percentile | 17.307912 |
| Maximum | 21.524907 |
| Range | 16.909787 |
| Interquartile range (IQR) | 3.5086417 |
Descriptive statistics
| Standard deviation | 2.6321878 |
|---|---|
| Coefficient of variation (CV) | 0.20966846 |
| Kurtosis | -0.19078755 |
| Mean | 12.554047 |
| Median Absolute Deviation (MAD) | 1.6178114 |
| Skewness | 0.38674064 |
| Sum | 14098.195 |
| Variance | 6.9284124 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 13.76929069 | 4 | 0.4% |
| 10.82063791 | 2 | 0.2% |
| 11.53570405 | 2 | 0.2% |
| 8.91798071 | 2 | 0.2% |
| 8.117908942 | 2 | 0.2% |
| 16.92867438 | 1 | 0.1% |
| 14.71557597 | 1 | 0.1% |
| 11.00788309 | 1 | 0.1% |
| 10.6323879 | 1 | 0.1% |
| 11.01764505 | 1 | 0.1% |
| Other values (1106) | 1106 |
| Value | Count | Frequency (%) |
| 4.615120517 | 1 | |
| 5.983936281 | 1 | |
| 6.230481448 | 1 | |
| 6.304448802 | 1 | |
| 6.37502482 | 1 | |
| 6.543911846 | 1 | |
| 6.875232087 | 1 | |
| 6.996681488 | 1 | |
| 7.021083964 | 1 | |
| 7.092573716 | 1 |
| Value | Count | Frequency (%) |
| 21.5249075 | 1 | |
| 20.59639519 | 1 | |
| 19.45372487 | 1 | |
| 19.43975028 | 1 | |
| 19.26304537 | 1 | |
| 19.0777724 | 1 | |
| 19.0298245 | 1 | |
| 19.0213913 | 1 | |
| 18.99788436 | 1 | |
| 18.93113089 | 1 |
GitHub Forks (Log Scale)
Real number (ℝ)
HIGH CORRELATION  MISSING  ZEROS 
| Distinct | 95 |
|---|---|
| Distinct (%) | 13.8% |
| Missing | 435 |
| Missing (%) | 38.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.6249093 |
| Minimum | 0 |
|---|---|
| Maximum | 9.7297292 |
| Zeros | 167 |
| Zeros (%) | 14.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.69314718 |
| median | 1.3862944 |
| Q3 | 2.4849066 |
| 95-th percentile | 4.4343175 |
| Maximum | 9.7297292 |
| Range | 9.7297292 |
| Interquartile range (IQR) | 1.7917595 |
Descriptive statistics
| Standard deviation | 1.5268047 |
|---|---|
| Coefficient of variation (CV) | 0.93962453 |
| Kurtosis | 2.3275895 |
| Mean | 1.6249093 |
| Median Absolute Deviation (MAD) | 1.0116009 |
| Skewness | 1.254457 |
| Sum | 1117.9376 |
| Variance | 2.3311325 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 167 | 14.9% |
| 0.6931471806 | 103 | 9.2% |
| 1.098612289 | 64 | 5.7% |
| 1.386294361 | 45 | 4.0% |
| 1.791759469 | 30 | 2.7% |
| 1.609437912 | 25 | 2.2% |
| 2.079441542 | 23 | 2.0% |
| 2.197224577 | 19 | 1.7% |
| 1.945910149 | 18 | 1.6% |
| 2.564949357 | 13 | 1.2% |
| Other values (85) | 181 | |
| (Missing) | 435 |
| Value | Count | Frequency (%) |
| 0 | 167 | |
| 0.6931471806 | 103 | |
| 1.098612289 | 64 | 5.7% |
| 1.386294361 | 45 | 4.0% |
| 1.609437912 | 25 | 2.2% |
| 1.791759469 | 30 | 2.7% |
| 1.945910149 | 18 | 1.6% |
| 2.079441542 | 23 | 2.0% |
| 2.197224577 | 19 | 1.7% |
| 2.302585093 | 10 | 0.9% |
| Value | Count | Frequency (%) |
| 9.729729226 | 1 | |
| 9.064967719 | 1 | |
| 8.037866235 | 1 | |
| 7.194436851 | 1 | |
| 7.053585727 | 1 | |
| 6.746412129 | 1 | |
| 6.284134161 | 1 | |
| 6.161207322 | 1 | |
| 6.159095388 | 1 | |
| 6.045005314 | 1 |
GitHub Open Issues (Log Scale)
Real number (ℝ)
HIGH CORRELATION  MISSING  ZEROS 
| Distinct | 79 |
|---|---|
| Distinct (%) | 17.6% |
| Missing | 674 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.675776 |
| Minimum | 0 |
|---|---|
| Maximum | 8.270781 |
| Zeros | 125 |
| Zeros (%) | 11.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1.3862944 |
| Q3 | 2.7080502 |
| 95-th percentile | 4.5869563 |
| Maximum | 8.270781 |
| Range | 8.270781 |
| Interquartile range (IQR) | 2.7080502 |
Descriptive statistics
| Standard deviation | 1.6126548 |
|---|---|
| Coefficient of variation (CV) | 0.96233313 |
| Kurtosis | 1.2677127 |
| Mean | 1.675776 |
| Median Absolute Deviation (MAD) | 1.3862944 |
| Skewness | 1.0876703 |
| Sum | 752.42343 |
| Variance | 2.6006554 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 125 | 11.1% |
| 0.6931471806 | 53 | 4.7% |
| 1.098612289 | 33 | 2.9% |
| 1.791759469 | 26 | 2.3% |
| 1.386294361 | 26 | 2.3% |
| 1.609437912 | 14 | 1.2% |
| 2.079441542 | 14 | 1.2% |
| 1.945910149 | 13 | 1.2% |
| 2.397895273 | 8 | 0.7% |
| 2.944438979 | 8 | 0.7% |
| Other values (69) | 129 | 11.5% |
| (Missing) | 674 |
| Value | Count | Frequency (%) |
| 0 | 125 | |
| 0.6931471806 | 53 | |
| 1.098612289 | 33 | 2.9% |
| 1.386294361 | 26 | 2.3% |
| 1.609437912 | 14 | 1.2% |
| 1.791759469 | 26 | 2.3% |
| 1.945910149 | 13 | 1.2% |
| 2.079441542 | 14 | 1.2% |
| 2.197224577 | 7 | 0.6% |
| 2.302585093 | 6 | 0.5% |
| Value | Count | Frequency (%) |
| 8.270781013 | 1 | |
| 8.204124933 | 1 | |
| 7.693025748 | 1 | |
| 6.926577033 | 1 | |
| 6.809039306 | 1 | |
| 6.552507887 | 1 | |
| 6.304448802 | 1 | |
| 6.049733455 | 1 | |
| 5.894402834 | 1 | |
| 5.733341277 | 1 |
Primary language
Categorical
HIGH CORRELATION 
| Distinct | 33 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| R | |
|---|---|
| Python | |
| Jupyter Notebook | |
| HTML | |
| MATLAB | |
| Other values (28) |
Length
| Max length | 24 |
|---|---|
| Median length | 17 |
| Mean length | 5.5556545 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6239 |
|---|---|
| Distinct characters | 50 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 16 ? |
|---|---|
| Unique (%) | 1.4% |
Sample
| 1st row | Python |
|---|---|
| 2nd row | Python |
| 3rd row | C++ |
| 4th row | C++ |
| 5th row | Java |
Common Values
| Value | Count | Frequency (%) |
| R | 432 | |
| Python | 218 | |
| Jupyter Notebook | 195 | |
| HTML | 113 | 10.1% |
| MATLAB | 49 | 4.4% |
| Shell | 16 | 1.4% |
| C++ | 15 | 1.3% |
| Java | 15 | 1.3% |
| JavaScript | 9 | 0.8% |
| Julia | 9 | 0.8% |
| Other values (23) | 52 | 4.6% |
Length
| Value | Count | Frequency (%) |
| r | 432 | |
| python | 218 | |
| jupyter | 195 | |
| notebook | 195 | |
| html | 113 | 8.5% |
| matlab | 49 | 3.7% |
| c | 22 | 1.7% |
| shell | 16 | 1.2% |
| java | 15 | 1.1% |
| javascript | 9 | 0.7% |
| Other values (29) | 63 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 826 | 13.2% |
| t | 632 | 10.1% |
| e | 441 | 7.1% |
| R | 434 | 7.0% |
| y | 414 | 6.6% |
| h | 235 | 3.8% |
| J | 233 | 3.7% |
| P | 226 | 3.6% |
| n | 225 | 3.6% |
| r | 220 | 3.5% |
| Other values (40) | 2353 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4054 | |
| Uppercase Letter | 1949 | |
| Space Separator | 204 | 3.3% |
| Math Symbol | 30 | 0.5% |
| Dash Punctuation | 1 | < 0.1% |
| Other Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 826 | |
| t | 632 | |
| e | 441 | |
| y | 414 | |
| h | 235 | 5.8% |
| n | 225 | 5.6% |
| r | 220 | 5.4% |
| u | 209 | 5.2% |
| p | 208 | 5.1% |
| k | 199 | 4.9% |
| Other values (14) | 445 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 434 | |
| J | 233 | |
| P | 226 | |
| N | 202 | |
| T | 170 | 8.7% |
| M | 167 | 8.6% |
| L | 164 | 8.4% |
| H | 114 | 5.8% |
| A | 100 | 5.1% |
| B | 51 | 2.6% |
| Other values (12) | 88 | 4.5% |
Space Separator
| Value | Count | Frequency (%) |
| 204 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 30 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6003 | |
| Common | 236 | 3.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 826 | 13.8% |
| t | 632 | 10.5% |
| e | 441 | 7.3% |
| R | 434 | 7.2% |
| y | 414 | 6.9% |
| h | 235 | 3.9% |
| J | 233 | 3.9% |
| P | 226 | 3.8% |
| n | 225 | 3.7% |
| r | 220 | 3.7% |
| Other values (36) | 2117 |
Common
| Value | Count | Frequency (%) |
| 204 | ||
| + | 30 | 12.7% |
| - | 1 | 0.4% |
| . | 1 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6239 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 826 | 13.2% |
| t | 632 | 10.1% |
| e | 441 | 7.1% |
| R | 434 | 7.0% |
| y | 414 | 6.6% |
| h | 235 | 3.8% |
| J | 233 | 3.7% |
| P | 226 | 3.6% |
| n | 225 | 3.6% |
| r | 220 | 3.5% |
| Other values (40) | 2353 |
| GitHub Repository ID | GitHub Stars | GitHub Forks | GitHub Subscribers | GitHub Open Issues | GitHub Contributors | GitHub Network Count | Repository Size (KB) | Duration Created to Now in Years | GitHub Stars (Log Scale) | total lines of GitHub detected code | total lines of GitHub detected code (Log Scale) | GitHub Forks (Log Scale) | GitHub Open Issues (Log Scale) | GitHub License Type | GitHub Repo Archived | category | Primary language | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GitHub Repository ID | 1.000 | -0.365 | -0.415 | -0.447 | -0.305 | -0.248 | -0.415 | -0.140 | -1.000 | -0.363 | 0.014 | 0.014 | -0.415 | -0.310 | 0.087 | 0.077 | 0.214 | 0.101 |
| GitHub Stars | -0.365 | 1.000 | 0.819 | 0.644 | 0.685 | 0.536 | 0.817 | 0.398 | 0.365 | 1.000 | 0.249 | 0.249 | 0.857 | 0.695 | 0.000 | 0.000 | 0.404 | 0.134 |
| GitHub Forks | -0.415 | 0.819 | 1.000 | 0.628 | 0.663 | 0.553 | 0.999 | 0.382 | 0.415 | 0.820 | 0.247 | 0.247 | 1.000 | 0.688 | 0.000 | 0.000 | 0.348 | 0.000 |
| GitHub Subscribers | -0.447 | 0.644 | 0.628 | 1.000 | 0.589 | 0.559 | 0.625 | 0.350 | 0.447 | 0.642 | 0.228 | 0.228 | 0.651 | 0.599 | 0.000 | 0.000 | 0.348 | 0.079 |
| GitHub Open Issues | -0.305 | 0.685 | 0.663 | 0.589 | 1.000 | 0.548 | 0.661 | 0.284 | 0.305 | 0.684 | 0.176 | 0.176 | 0.688 | 1.000 | 0.000 | 0.000 | 0.361 | 0.000 |
| GitHub Contributors | -0.248 | 0.536 | 0.553 | 0.559 | 0.548 | 1.000 | 0.553 | 0.393 | 0.248 | 0.535 | 0.269 | 0.269 | 0.554 | 0.621 | 0.000 | 0.000 | 0.487 | 0.000 |
| GitHub Network Count | -0.415 | 0.817 | 0.999 | 0.625 | 0.661 | 0.553 | 1.000 | 0.382 | 0.415 | 0.820 | 0.247 | 0.247 | 0.996 | 0.688 | 0.000 | 0.000 | 0.348 | 0.000 |
| Repository Size (KB) | -0.140 | 0.398 | 0.382 | 0.350 | 0.284 | 0.393 | 0.382 | 1.000 | 0.140 | 0.394 | 0.534 | 0.534 | 0.287 | 0.299 | 0.000 | 0.000 | 0.046 | 0.285 |
| Duration Created to Now in Years | -1.000 | 0.365 | 0.415 | 0.447 | 0.305 | 0.248 | 0.415 | 0.140 | 1.000 | 0.363 | -0.014 | -0.014 | 0.415 | 0.310 | 0.104 | 0.101 | 0.297 | 0.188 |
| GitHub Stars (Log Scale) | -0.363 | 1.000 | 0.820 | 0.642 | 0.684 | 0.535 | 0.820 | 0.394 | 0.363 | 1.000 | 0.239 | 0.239 | 0.855 | 0.694 | 0.080 | 0.000 | 0.526 | 0.130 |
| total lines of GitHub detected code | 0.014 | 0.249 | 0.247 | 0.228 | 0.176 | 0.269 | 0.247 | 0.534 | -0.014 | 0.239 | 1.000 | 1.000 | 0.188 | 0.262 | 0.000 | 0.000 | 0.000 | 0.558 |
| total lines of GitHub detected code (Log Scale) | 0.014 | 0.249 | 0.247 | 0.228 | 0.176 | 0.269 | 0.247 | 0.534 | -0.014 | 0.239 | 1.000 | 1.000 | 0.188 | 0.262 | 0.080 | 0.114 | 0.081 | 0.375 |
| GitHub Forks (Log Scale) | -0.415 | 0.857 | 1.000 | 0.651 | 0.688 | 0.554 | 0.996 | 0.287 | 0.415 | 0.855 | 0.188 | 0.188 | 1.000 | 0.689 | 0.088 | 0.000 | 0.526 | 0.115 |
| GitHub Open Issues (Log Scale) | -0.310 | 0.695 | 0.688 | 0.599 | 1.000 | 0.621 | 0.688 | 0.299 | 0.310 | 0.694 | 0.262 | 0.262 | 0.689 | 1.000 | 0.000 | 0.019 | 0.457 | 0.039 |
| GitHub License Type | 0.087 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.104 | 0.080 | 0.000 | 0.080 | 0.088 | 0.000 | 1.000 | 0.000 | 0.229 | 0.181 |
| GitHub Repo Archived | 0.077 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.101 | 0.000 | 0.000 | 0.114 | 0.000 | 0.019 | 0.000 | 1.000 | 0.000 | 0.000 |
| category | 0.214 | 0.404 | 0.348 | 0.348 | 0.361 | 0.487 | 0.348 | 0.046 | 0.297 | 0.526 | 0.000 | 0.081 | 0.526 | 0.457 | 0.229 | 0.000 | 1.000 | 0.103 |
| Primary language | 0.101 | 0.134 | 0.000 | 0.079 | 0.000 | 0.000 | 0.000 | 0.285 | 0.188 | 0.130 | 0.558 | 0.375 | 0.115 | 0.039 | 0.181 | 0.000 | 0.103 | 1.000 |
| Project Name | GitHub Repository ID | Project Homepage | Project Repo URL | Project Landscape Category | GitHub Stars | GitHub Forks | GitHub Subscribers | GitHub Open Issues | GitHub Contributors | GitHub License Type | GitHub Description | GitHub Topics | GitHub Organization | GitHub Network Count | GitHub Detected Languages | Date Created | Date Most Recent Commit | Duration Created to Most Recent Commit | Duration Created to Now | Duration Most Recent Commit to Now | Repository Size (KB) | GitHub Repo Archived | Duration Created to Now in Years | Negative Duration Most Recent Commit to Now | category | GitHub Stars (Log Scale) | total lines of GitHub detected code | total lines of GitHub detected code (Log Scale) | GitHub Forks (Log Scale) | GitHub Open Issues (Log Scale) | Primary language | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | pandas | 858127 | https://pandas.pydata.org | https://github.com/pandas-dev/pandas | [cytomining-ecosystem-relevant-open-source] | 40031 | 16810 | 1121 | 3656 | 411 | BSD-3-Clause | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | [alignment, data-analysis, data-science, flexible, pandas, python] | pandas-dev | 16810 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 386224.0, 'C#': None, 'C++': None, 'CMake': None, 'CSS': 6804.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 1277513.0, 'D': None, 'Dockerfile': 5751.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': 457000.0, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': 10664.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 20324063.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 14392.0, 'Singularity': None, 'Smarty': 8486.0, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': 1196.0, 'eC': None, 'sed': None} | 2010-08-24 01:37:33+00:00 | 2023-10-16 16:52:20+00:00 | 4801 days 15:14:47 | 4801 days 15:45:14.559263 | 0 days 00:30:27.559263 | 334787 | False | 13.153425 | -1 days +23:29:32.440737 | relevant-open-source | 10.597409 | 22492093.0 | 16.928674 | 9.729729 | 8.204125 | Python |
| 1 | numpy | 908607 | https://numpy.org | https://github.com/numpy/numpy | [cytomining-ecosystem-relevant-open-source] | 24741 | 8647 | 595 | 2193 | 435 | BSD-3-Clause | The fundamental package for scientific computing with Python. | [numpy, python] | numpy | 8647 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 6220071.0, 'C#': None, 'C++': 205725.0, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 151476.0, 'D': 19.0, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': 3787.0, 'Fortran': 27683.0, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 1697.0, 'Mako': None, 'Mercury': None, 'Meson': 88875.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 10458450.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 17058.0, 'Singularity': None, 'Smarty': 4129.0, 'Stan': None, 'Standard ML': None, 'Starlark': 1842.0, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': 5699.0} | 2010-09-13 23:02:39+00:00 | 2023-10-16 14:25:39+00:00 | 4780 days 15:23:00 | 4780 days 18:20:08.559263 | 0 days 02:57:08.559263 | 131902 | False | 13.095890 | -1 days +21:02:51.440737 | relevant-open-source | 10.116217 | 17186511.0 | 16.659635 | 9.064968 | 7.693026 | Python |
| 2 | arrow | 51905353 | https://arrow.apache.org/ | https://github.com/apache/arrow | [cytomining-ecosystem-relevant-open-source] | 12614 | 3096 | 351 | 3908 | 367 | Apache-2.0 | Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing | [arrow] | apache | 3096 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': 3709.0, 'Batchfile': 32824.0, 'C': 1507496.0, 'C#': 1525079.0, 'C++': 26864997.0, 'CMake': 732440.0, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 1708430.0, 'D': None, 'Dockerfile': 135006.0, 'Emacs Lisp': 1064.0, 'Forth': None, 'Fortran': None, 'FreeMarker': 2312.0, 'Gnuplot': None, 'Go': 5619807.0, 'Groovy': None, 'HCL': None, 'HTML': 5604.0, 'Hack': None, 'ImageJ Macro': None, 'Java': 7353737.0, 'JavaScript': 128685.0, 'Jinja': 21888.0, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': 8771.0, 'M': None, 'M4': None, 'MATLAB': 722935.0, 'Makefile': 32659.0, 'Mako': None, 'Mercury': None, 'Meson': 62865.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': 11472.0, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 3288183.0, 'QMake': None, 'R': 1698163.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': 1794908.0, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 411936.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': 461913.0, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': 34537.0, 'TypeScript': 1108325.0, 'VBScript': None, 'Vala': 24798.0, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': 1256.0} | 2016-02-17 08:00:23+00:00 | 2023-10-16 17:18:03+00:00 | 2798 days 09:17:40 | 2798 days 09:22:24.559263 | 0 days 00:04:44.559263 | 171101 | False | 7.665753 | -1 days +23:55:15.440737 | relevant-open-source | 9.442563 | 55305799.0 | 17.828388 | 8.037866 | 8.270781 | C++ |
| 3 | duckdb | 138754790 | http://www.duckdb.org | https://github.com/duckdb/duckdb | [cytomining-ecosystem-relevant-open-source] | 12393 | 1157 | 157 | 309 | 253 | MIT | DuckDB is an in-process SQL OLAP Database Management System | [analytics, database, embedded-database, olap, sql] | duckdb | 1157 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 1761733.0, 'C#': None, 'C++': 33576510.0, 'CMake': 146234.0, 'CSS': 182.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': 343518.0, 'JavaScript': 12990.0, 'Jinja': None, 'Julia': 250635.0, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 14649.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1407442.0, 'QMake': None, 'R': 1693.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 26187.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': 282562.0, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-06-26 15:04:45+00:00 | 2023-10-16 14:58:09+00:00 | 1937 days 23:53:24 | 1938 days 02:18:02.559263 | 0 days 02:24:38.559263 | 227662 | False | 5.309589 | -1 days +21:35:21.440737 | relevant-open-source | 9.424887 | 37824335.0 | 17.448463 | 7.053586 | 5.733341 | C++ |
| 4 | parquet-mr | 20675636 | https://github.com/apache/parquet-mr | [cytomining-ecosystem-relevant-open-source] | 2179 | 1332 | 95 | 130 | 190 | Apache-2.0 | Apache Parquet | [big-data, java, parquet] | apache | 1332 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': 5923431.0, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 14771.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': 8436.0, 'Scheme': None, 'Scilab': None, 'Shell': 14860.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': 10354.0, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2014-06-10 07:00:07+00:00 | 2023-10-16 15:19:17+00:00 | 3415 days 08:19:10 | 3415 days 10:22:40.559263 | 0 days 02:03:30.559263 | 18475 | False | 9.356164 | -1 days +21:56:29.440737 | relevant-open-source | 7.686621 | 5971852.0 | 15.602568 | 7.194437 | 4.867534 | Java | |
| 5 | snakemake | 212840200 | https://snakemake.readthedocs.io | https://github.com/snakemake/snakemake | [cytomining-ecosystem-relevant-open-source] | 1955 | 474 | 22 | 906 | 280 | MIT | This is the development home of the workflow management system Snakemake. For general information, see | [reproducibility, snakemake, workflow-management] | snakemake | 474 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 1346.0, 'C#': None, 'C++': None, 'CMake': None, 'CSS': 3033.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': 1727.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': 3647966.0, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': 43973.0, 'Jinja': 6950.0, 'Julia': 334.0, 'Jupyter Notebook': 4389.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 4400.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': 5.0, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1336865.0, 'QMake': None, 'R': 786.0, 'Raku': None, 'Reason': None, 'Rebol': 6.0, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': 6.0, 'Ruby': None, 'Rust': 3617.0, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 5149.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': 5722.0, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2019-10-04 14:58:11+00:00 | 2023-10-16 09:50:35+00:00 | 1472 days 18:52:24 | 1473 days 02:24:36.559263 | 0 days 07:32:12.559263 | 92014 | False | 4.035616 | -1 days +16:27:47.440737 | relevant-open-source | 7.578145 | 5066274.0 | 15.438116 | 6.161207 | 6.809039 | HTML |
| 6 | seurat | 35927665 | http://www.satijalab.org/seurat | https://github.com/satijalab/seurat | [cytomining-ecosystem-adjacent-tools] | 1947 | 851 | 78 | 229 | 83 | NOASSERTION | R toolkit for single cell genomics | [cran, human-cell-atlas, single-cell-genomics, single-cell-rna-seq] | satijalab | 851 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 166.0, 'C#': None, 'C++': 103887.0, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': 1272988.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 942.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2015-05-20 05:23:02+00:00 | 2023-10-03 21:28:12+00:00 | 3058 days 16:05:10 | 3071 days 11:59:45.559263 | 12 days 19:54:35.559263 | 22722 | False | 8.413699 | -13 days +04:05:24.440737 | adjacent-tools | 7.574045 | 1377983.0 | 14.136131 | 6.746412 | 5.433722 | R |
| 7 | napari | 144513571 | https://napari.org | https://github.com/napari/napari | [microscopy-analysis-tools] | 1912 | 389 | 49 | 1019 | 150 | BSD-3-Clause | napari: a fast, interactive, multi-dimensional image viewer for python | [napari, numpy, python, visualization] | napari | 389 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': 465.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 6722.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 4637636.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': 2846.0, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 1221.0, 'Singularity': 95.0, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-08-13 01:12:28+00:00 | 2023-10-16 15:20:03+00:00 | 1890 days 14:07:35 | 1890 days 16:10:19.559263 | 0 days 02:02:44.559263 | 76654 | False | 5.178082 | -1 days +21:57:15.440737 | microscopy-analysis-tools | 7.555905 | 4648985.0 | 15.352159 | 5.963579 | 6.926577 | Python |
| 8 | scanpy | 80342493 | https://scanpy.readthedocs.io | https://github.com/scverse/scanpy | [cytomining-ecosystem-adjacent-tools] | 1612 | 536 | 51 | 547 | 125 | BSD-3-Clause | Single-cell analysis in Python. Scales to >1M cells. | [anndata, bioinformatics, data-science, machine-learning, python, scanpy, scverse, transcriptomics, visualize-data] | scverse | 536 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1292128.0, 'QMake': None, 'R': 2315.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2017-01-29 11:31:11+00:00 | 2023-10-16 15:40:34+00:00 | 2451 days 04:09:23 | 2451 days 05:51:36.559263 | 0 days 01:42:13.559263 | 39283 | False | 6.715068 | -1 days +22:17:46.440737 | adjacent-tools | 7.385231 | 1294443.0 | 14.073591 | 6.284134 | 6.304449 | Python |
| 9 | STAR | 17778869 | https://github.com/alexdobin/STAR | [cytomining-ecosystem-adjacent-tools] | 1592 | 473 | 86 | 701 | 34 | MIT | RNA-seq aligner | [] | None | 473 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': 24345.0, 'Batchfile': None, 'C': 2350683.0, 'C#': None, 'C++': 1210764.0, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': 676.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 1006.0, 'Makefile': 25383.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': 11364.0, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 295.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': 119547.0, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2014-03-15 15:47:05+00:00 | 2023-09-08 12:23:35+00:00 | 3463 days 20:36:30 | 3502 days 01:35:42.559263 | 38 days 04:59:12.559263 | 541229 | False | 9.594521 | -39 days +19:00:47.440737 | adjacent-tools | 7.372746 | 3744063.0 | 15.135682 | 6.159095 | 6.552508 | C |
| Project Name | GitHub Repository ID | Project Homepage | Project Repo URL | Project Landscape Category | GitHub Stars | GitHub Forks | GitHub Subscribers | GitHub Open Issues | GitHub Contributors | GitHub License Type | GitHub Description | GitHub Topics | GitHub Organization | GitHub Network Count | GitHub Detected Languages | Date Created | Date Most Recent Commit | Duration Created to Most Recent Commit | Duration Created to Now | Duration Most Recent Commit to Now | Repository Size (KB) | GitHub Repo Archived | Duration Created to Now in Years | Negative Duration Most Recent Commit to Now | category | GitHub Stars (Log Scale) | total lines of GitHub detected code | total lines of GitHub detected code (Log Scale) | GitHub Forks (Log Scale) | GitHub Open Issues (Log Scale) | Primary language | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1113 | BloodVesselImageAnalysis | 323621577 | https://github.com/RoopaMadhu/BloodVesselImageAnalysis | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Spatiographic projections of biological systems | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 188297.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-12-22 12:36:17+00:00 | 2020-12-22 14:22:59+00:00 | 0 days 01:46:42 | 1028 days 04:46:30.559263 | 1028 days 02:59:48.559263 | 576 | False | 2.816438 | -1029 days +21:00:11.440737 | github-query-result | NaN | 188297.0 | 12.145776 | NaN | NaN | MATLAB | |
| 1114 | SickleCellDataAnalysis | 298584969 | None | https://github.com/ridz46/SickleCellDataAnalysis | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | This repository contains the codes used for image processing and further downstream data analysis for the project on the development of a point-of-care diagnostic test for sickle cell disease. This repository is maintained by the Microfluidics & Biological Physics group, Department of Biosciences & Bioengineering, Indian Institute of Technology Bombay, Mumbai, India. | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': 4373.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-09-25 13:45:27+00:00 | 2020-09-28 08:55:24+00:00 | 2 days 19:09:57 | 1116 days 03:37:20.559263 | 1113 days 08:27:23.559263 | 17 | False | 3.057534 | -1114 days +15:32:36.440737 | github-query-result | NaN | 4373.0 | 8.383205 | NaN | NaN | R |
| 1115 | Data-Analysis-AMATH-482 | 245942374 | None | https://github.com/priyanshir/Data-Analysis-AMATH-482 | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 703573.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 33375.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-03-09 04:17:02+00:00 | 2020-03-14 22:41:50+00:00 | 5 days 18:24:48 | 1316 days 13:05:45.559263 | 1310 days 18:40:57.559263 | 2832 | False | 3.605479 | -1311 days +05:19:02.440737 | github-query-result | NaN | 736948.0 | 13.510273 | NaN | NaN | Jupyter Notebook |
| 1116 | Aging-Cell-Morphology-Cell-transformations-and-image-processing | 235024426 | None | https://github.com/sumisingh/Aging-Cell-Morphology-Cell-transformations-and-image-processing | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Identifying cellular transformations associated with aging using image processing | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 8130261.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-01-20 05:18:57+00:00 | 2020-01-20 05:29:56+00:00 | 0 days 00:10:59 | 1365 days 12:03:50.559263 | 1365 days 11:52:51.559263 | 27874 | False | 3.739726 | -1366 days +12:07:08.440737 | github-query-result | NaN | 8130261.0 | 15.911104 | NaN | NaN | Jupyter Notebook |
| 1117 | CellMorphology | 148259959 | https://github.com/KnightofDawn/CellMorphology | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Python code to identify/analyze cells from microscopic stack images. | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 65906.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-09-11 04:25:09+00:00 | 2018-09-10 20:41:28+00:00 | -1 days +16:16:19 | 1861 days 12:57:38.559263 | 1861 days 20:41:19.559263 | 161 | False | 5.098630 | -1862 days +03:18:40.440737 | github-query-result | NaN | 65906.0 | 11.095985 | NaN | NaN | Python | |
| 1118 | ImagingCells | 137526283 | None | https://github.com/jesnyder/ImagingCells | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Scripts to analyze cell number and morphologies using images. | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 1523.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-06-15 19:50:00+00:00 | 2018-08-31 19:21:33+00:00 | 76 days 23:31:33 | 1948 days 21:32:47.559263 | 1871 days 22:01:14.559263 | 1 | False | 5.336986 | -1872 days +01:58:45.440737 | github-query-result | NaN | 1523.0 | 7.328437 | NaN | NaN | Jupyter Notebook |
| 1119 | course-bia | 119301640 | None | https://github.com/denzf/course-bia | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | MIT | Code examples for the course of Biological Image Analysis | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 6010.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-01-28 21:58:13+00:00 | 2018-01-24 03:22:19+00:00 | -5 days +05:24:06 | 2086 days 19:24:34.559263 | 2091 days 14:00:28.559263 | 203 | False | 5.715068 | -2092 days +09:59:31.440737 | github-query-result | NaN | 6010.0 | 8.701180 | NaN | NaN | Python |
| 1120 | Cell-virulence-Detection-using-Image-Processing | 163268436 | None | https://github.com/arushigupta148/Cell-virulence-Detection-using-Image-Processing | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | Designed an automated tool to find the thickness of multiple cell capsules from images using morphological operations to generate plots of cell size vs capsular thickness, simplifying detection of virulence in yeast cells for mycologists | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 12989.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-12-27 08:27:06+00:00 | 2019-05-12 23:09:02+00:00 | 136 days 14:41:56 | 1754 days 08:55:41.559263 | 1617 days 18:13:45.559263 | 1751 | False | 4.805479 | -1618 days +05:46:14.440737 | github-query-result | NaN | 12989.0 | 9.471858 | NaN | NaN | Python |
| 1121 | Image-analysis | 152904377 | https://github.com/dguin/Image-analysis | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | The repository contains code to analyze videos where each frame is a snapshot of the cellular status as a function of time. The program includes subroutines for segmentation protocols to pick a cell and differentiate it from the background when the signal to noise is low. The protocol docx explains what each code does and explains the order in which they must be run. As is the program analyzes FRET data from a cell, where the temperature increases as a function of time and one can evaluate the changes in the cell morphology as the cell is under heat stress | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 40670.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-10-13 18:53:42+00:00 | 2018-10-13 19:32:22+00:00 | 0 days 00:38:40 | 1828 days 22:29:05.559263 | 1828 days 21:50:25.559263 | 26 | False | 5.008219 | -1829 days +02:09:34.440737 | github-query-result | NaN | 40670.0 | 10.613246 | NaN | NaN | MATLAB | |
| 1122 | oct-image-analysis | 125785309 | https://github.com/ricster101/oct-image-analysis | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | Work developed with Adriana Costa during the course of Computer Vision and Biological Perception aiming to discover differences in mice retina | [] | None | 0 | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 22755.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-03-19 01:29:32+00:00 | 2018-03-19 03:31:25+00:00 | 0 days 02:01:53 | 2037 days 15:53:15.559263 | 2037 days 13:51:22.559263 | 16 | False | 5.580822 | -2038 days +10:08:37.440737 | github-query-result | NaN | 22755.0 | 10.032540 | NaN | NaN | MATLAB |